Assessing Time-Varying Causal Effect Moderation in Mobile Health.

Assessing Time-Varying Causal Effect Moderation in Mobile Health.
复制标题

DOI:
10.1080/01621459.2017.1305274
复制
发表时间:
2018
影响因子:
3.7
通讯作者:
Murphy SA
Murphy SA
中科院分区:
数学1区
文献类型:
--
作者:
Boruvka A;Almirall D;Witkiewitz K;Murphy SA

文献摘要

参考文献

被引文献

相似文献

在旨在改变和维持行为的移动的健康干预中,在真实的时间内提供治疗以管理当前或即将发生的高风险情况或在接近真实的时间内促进健康行为。目前,科学界对开发数据分析方法以指导移动的干预措施的发展有很大的兴趣。特别是来自移动的健康研究的数据可用于检查效应调节因子-个体特征、随时间变化的背景或既往治疗反应,这些因素可调节当前治疗对后续反应的影响。本文介绍了潜在结果方面的调节效应的正式定义,该定义特别适合于移动的干预,其中治疗场合很多,个人并不总是可以接受治疗,并且潜在的调节者可能会受到过去治疗的影响。估计调节效应的方法开发和比较。所提出的方法说明使用BASICS-Mobile,基于智能手机的干预,旨在遏制大量饮酒和吸烟的大学生。
In mobile health interventions aimed at behavior change and maintenance, treatments are provided in real time to manage current or impending high risk situations or promote healthy behaviors in near real time. Currently there is great scientific interest in developing data analysis approaches to guide the development of mobile interventions. In particular data from mobile health studies might be used to examine effect moderators—individual characteristics, time-varying context or past treatment response that moderate the effect of current treatment on a subsequent response. This paper introduces a formal definition for moderated effects in terms of potential outcomes, a definition that is particularly suited to mobile interventions, where treatment occasions are numerous, individuals are not always available for treatment, and potential moderators might be influenced by past treatment. Methods for estimating moderated effects are developed and compared. The proposed approach is illustrated using BASICS-Mobile, a smartphone-based intervention designed to curb heavy drinking and smoking among college students.
评估幼儿园保留政策: 多层次观察数据因果推断案例研究
DOI: 10.1198/016214506000000447
发表时间: 2006-09-01
影响因子: 3.7
作者:
Hong, Guanglei;Raudenbush, Stephen W.
通讯作者: Raudenbush, Stephen W.
DOI: 10.2196/jmir.3077
发表时间: 2014-06-01
影响因子: 7.4
作者:
Mohr, David C.;Schueller, Stephen M.;Rashidi, Parisa
通讯作者: Rashidi, Parisa
DOI: 10.2307/2336267
发表时间: 1986-04-01
期刊: BIOMETRIKA
影响因子: 2.7
作者:
LIANG, KY;ZEGER, SL
通讯作者: ZEGER, SL
DOI: 10.2196/jmir.2301
发表时间: 2013-01-04
影响因子: 7.4
作者:
Muessig KE;Pike EC;Legrand S;Hightow-Weidman LB
通讯作者: Hightow-Weidman LB
DOI: 10.1037/a0017127
发表时间: 2009-12-01
影响因子: 3.4
作者:
Bowen, Sarah;Marlatt, Alan
通讯作者: Marlatt, Alan